You do the following steps with a data set: Divide a data set into testing and training sets. Create a linear model with the training set. Find the average R2 value on your training data. It is found to be 0.5. Perform a 100th-order polynomial transform on your data. Use these transformed values to train another model. Find the new value for R2. It is found to be 0.99. Which of the following statements is correct? 1 point 100-th order polynomial will work better on the rest of your data You should use the simpler model You should use your test data to test the model further Create another linear model with all of the data and compare results